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Java + You Let's build a simple Android app, part 2 In the last exciting installment of “Let’s Build a Simple Android App”… We went through the process of creating a basic app that asked a question and let you give a response. It was cooler than it sounds – it had a nice color palette and everything. In part 2, we’ll be building on that starting point and adding some more advanced functionality. Either way, I do recommend that you read part one first. Also, fair warning: this is not all going to be easy. If you are playing along, then grab a cup of coffee, put on some Daft Punk and let’s get to work! Straight out the gate let’s add something easy that looks good. Just add this line to the button widgets in activity_questions.xml: style="@style/Widget.AppCompat.Button.Colored" Note: You need to add this line twice, once for each button. If you recall, we previously edited the file ‘colors.xml’ and defined values for ‘colorPrimaryDark’ and ‘colorAccent’ using the palette we created at Paletton. This was nice and easy but don’t be deceived.

Developpement 20sept PAUG Conf Days et Hackathon Google TV à Paris 12 et 13 octobre Du 11 au 13 octobre 2012 se tiendra à Paris la 5ème édition de l’Open World Forum, une conférence internationale dédiée à la réflexion autour de l’Open Source. La ville de Paris, la région Île-de-France et un certain nombre de communautés du Lire la suite → The Java Posse Kivy: Cross-platform Python Framework for NUI Development Tools Project Site OpenFace Free and open source face recognition with deep neural networks. 2016-01-19: OpenFace 0.2.0 released! See this blog post for more details. OpenFace is a Python and Torch implementation of face recognition with deep neural networks and is based on the CVPR 2015 paper FaceNet: A Unified Embedding for Face Recognition and Clustering by Florian Schroff, Dmitry Kalenichenko, and James Philbin at Google. Crafted by Brandon Amos in Satya's research group at Carnegie Mellon University. The code is available on GitHub at cmusatyalab/openface.API DocumentationJoin the cmu-openface group or the gitter chat for discussions and installation issues.Development discussions and bugs reports are on the issue tracker. This research was supported by the National Science Foundation (NSF) under grant number CNS-1518865. Isn't face recognition a solved problem? No! Please use responsibly! We do not support the use of this project in applications that violate privacy and security.

Welcome to Android MINICRAFT | 3D canvas raymarching demoscene 256b HTML5 minecraft raycasting notch Tribute to MINECRAFT, voxel flyby in 252 bytes of HTML5. Motivation About one year ago Notch wrote a Minecraft flyby in JavaScript in 4kb with procedural textures, camera, fog, ... It was really cool and fast. The code was mostly optimized for speed, so surely with some efforts it could fit in 2 or maybe even 1kb. Two weeks ago, I released WOLFENSTEINY and the feedback was absolutely amazing. Source code Tada! Two four eight for the kicks Here is a version of MINICRAFT in 248 bytes, just for the kicks! How ? You might wonder how the rendering engine, camera path and the 3D world fit in 252 bytes of HTML and JavaScript. Tiny shoulders Really, MINICRAFT is only standing on the itsy bitsy shoulders of WOLFENSTEINY, TEA STORM and MINI DISTRICT. Rendering Considering the target size of this demo, there was no room for a fancy rendering technique. If you wonder what this three cryptic words mean, this is pretty simple. Resolution

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